Popular GitHub Repositories for Bert Models

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

? A list of pre-trained BERT models for Japanese with word/subword tokenization + vocabulary construction algorithm information

TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA), Tunisian Dialect Identification (TDI) and Reading Comprehension Question-Answering (RCQA)

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

This is the code for loading the SenseBERT model, described in our paper from ACL 2020.

TRAM: Benchmarking Temporal Reasoning for Large Language Models (Findings of ACL 2024)

Finetuning BERT in PyTorch for sentiment analysis.

Fine-tune BERT models to classify Arabic text by different dialects.

Targeted Aspect-based Sentiment Analysis on SentiHood Dataset (PyTorch)

Master's thesis repository with evaluation of BERT-based models on Quora Question Dataset, in comparison to Siamese LSTM models

Quick and easy tutorial to serve HuggingFace sentiment analysis model using torchserve

NLP Code Snippets and Conference related

Fine-tuning framework for BERT like models on RACE

Hallucination in Chat-bots: Faithful Benchmark for Information-Seeking Dialogue

OnnxRT based Inference Optimization of Roberta model trained for Sentiment Analysis On Twitter Dataset

The goal of this competition from Kaggle was to streamline the process of matching educational content to specific topics in a curriculum. To achieve that, a sentence transformers model was developed and trained on a library of K-12 educational materials that have been organized into a variety of topic taxonomies.